Bruce M. Damon

3.4k total citations
86 papers, 2.5k citations indexed

About

Bruce M. Damon is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Bruce M. Damon has authored 86 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cardiology and Cardiovascular Medicine and 19 papers in Biomedical Engineering. Recurrent topics in Bruce M. Damon's work include Advanced MRI Techniques and Applications (47 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Cardiac Imaging and Diagnostics (13 papers). Bruce M. Damon is often cited by papers focused on Advanced MRI Techniques and Applications (47 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Cardiac Imaging and Diagnostics (13 papers). Bruce M. Damon collaborates with scholars based in United States, Netherlands and Russia. Bruce M. Damon's co-authors include Zhaohua Ding, Anneriet M. Heemskerk, John C. Gore, Thomas B. Price, E. Brian Welch, Drew A. Lansdown, Harold W. Goforth, Edward C. Parsons, John L. Ivy and Thomas R. McCauley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Bruce M. Damon

79 papers receiving 2.5k citations

Peers

Bruce M. Damon

RNMI

OSM

CCM

Jane A. Kent United States

Luke J. Haseler Australia

Theodore F. Towse United States

Martijn Froeling Netherlands

Greg D. Marsh Canada

Gwenaël Layec United States

Markku Komu Finland

Queenie Chan China

C. Marconi Italy

K. Kendrick United States

Jane A. Kent United States

Bruce M. Damon

510 ×0.4

RNMI

203 ×0.3

OSM

461 ×1.0

199 ×0.5

CCM

312 ×0.9

Citations per year, relative to Bruce M. Damon Bruce M. Damon (= 1×) peers Jane A. Kent

Countries citing papers authored by Bruce M. Damon

Since Specialization

Citations

This map shows the geographic impact of Bruce M. Damon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bruce M. Damon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce M. Damon more than expected).

Fields of papers citing papers by Bruce M. Damon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce M. Damon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bruce M. Damon. The network helps show where Bruce M. Damon may publish in the future.

Co-authorship network of co-authors of Bruce M. Damon

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce M. Damon. A scholar is included among the top collaborators of Bruce M. Damon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruce M. Damon. Bruce M. Damon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Yudu, Yuhui Chai, Aaron Anderson, et al.. (2025). High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling. IEEE Transactions on Biomedical Engineering. 72(12). 3558–3566.

Zhou, Xingyu, et al.. (2025). Improved DTI‐Based Skeletal Muscle Architecture Estimation via Diffusion Weighted Image Denoising and First Eigenvector Map Smoothing. NMR in Biomedicine. 38(9). e70100–e70100. 1 indexed citations

Hooijmans, Melissa T., et al.. (2025). A registration strategy to characterize DTI-observed changes in skeletal muscle architecture due to passive shortening. PLoS ONE. 20(3). e0302675–e0302675.

Samyn, Margaret M., Ke Yan, Kimberly Crum, et al.. (2024). Cost analysis of cardiac MRI for cardiac transplant surveillance. SHILAP Revista de lepidopterología. 6. 100136–100136. 2 indexed citations

Zhou, Xingyu, et al.. (2023). Predicted effects of image acquisition and analysis conditions on DTMRI tractography–based muscle architecture estimates. Magnetic Resonance in Medicine. 91(4). 1337–1353. 3 indexed citations

Lee, Simon, Debra A. Dodd, Justin Godown, et al.. (2023). Cardiac magnetic resonance assessment of acute rejection and cardiac allograft vasculopathy in pediatric heart transplant. The Journal of Heart and Lung Transplantation. 43(5). 745–754. 3 indexed citations

Zhou, Xingyu, et al.. (2023). Quantitative Muscle Fascicle Tractography Using Brightness-Mode Ultrasound. Journal of Applied Biomechanics. 39(6). 421–431. 3 indexed citations

Anderson, Aaron, Tracey Wszalek, Bradley P. Sutton, et al.. (2023). Cardiothoracic and Vascular Surgery Implant Compatibility With Ultrahigh Field Magnetic Resonance Imaging (4.7 Tesla and 7 Tesla). The American Journal of Cardiology. 201. 239–246.

Gaj, Sibaji, Brendan Eck, Carl S. Winalski, et al.. (2022). Multi-vendor multi-site quantitative MRI analysis of cartilage degeneration 10 Years after anterior cruciate ligament reconstruction: MOON-MRI protocol and preliminary results. Osteoarthritis and Cartilage. 30(12). 1647–1657. 10 indexed citations

10.

Damon, Bruce M., et al.. (2019). MR fingerprinting with simultaneous T1, T2, and fat signal fraction estimation with integrated B0 correction reduces bias in water T1 and T2 estimates. Magnetic Resonance Imaging. 60. 7–19. 34 indexed citations

11.

Caskey, Charles F., et al.. (2016). FloWave.US: validated, open-source, and flexible software for ultrasound blood flow analysis. Journal of Applied Physiology. 121(4). 849–857. 36 indexed citations

12.

Damon, Bruce M., Amanda K. W. Buck, & Zhaohua Ding. (2011). Diffusion-tensor MRI-based skeletal muscle fiber tracking. Imaging in Medicine. 3(6). 675–687. 34 indexed citations

13.

Damon, Bruce M., et al.. (2009). Repeatability of a dual gradient‐recalled echo MRI method for monitoring post‐isometric contraction blood volume and oxygenation changes. NMR in Biomedicine. 22(7). 753–761. 10 indexed citations

14.

Gochberg, Daniel F., et al.. (2008). Transverse relaxation and magnetization transfer in skeletal muscle: Effect of pH. Magnetic Resonance in Medicine. 61(3). 560–569. 36 indexed citations

15.

Damon, Bruce M., et al.. (2008). Spatial heterogeneity in the muscle functional MRI signal intensity time course: effect of exercise intensity. Magnetic Resonance Imaging. 26(8). 1114–1121. 15 indexed citations

16.

Damon, Bruce M., et al.. (2007). Delayed Blood Reoxygenation following Maximum Voluntary Contraction. Medicine & Science in Sports & Exercise. 39(2). 257–267. 15 indexed citations

17.

Damon, Bruce M., et al.. (2007). Dual gradient‐echo MRI of post‐contraction changes in skeletal muscle blood volume and oxygenation. Magnetic Resonance in Medicine. 57(4). 670–679. 36 indexed citations

18.

Lansdown, Drew A., et al.. (2007). Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle. Journal of Applied Physiology. 103(2). 673–681. 107 indexed citations

19.

Damon, Bruce M., Danielle M. Wigmore, Zhaohua Ding, John C. Gore, & Jane A. Kent‐Braun. (2003). Cluster analysis of muscle functional MRI data. Journal of Applied Physiology. 95(3). 1287–1296. 12 indexed citations

20.

Price, Thomas B., Gary Kamen, Bruce M. Damon, et al.. (2003). Comparison of MRI with EMG to study muscle activity associated with dynamic plantar flexion. Magnetic Resonance Imaging. 21(8). 853–861. 63 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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